Data Scientist

• Engage with business partners and stakeholders to understand their challenges and opportunities
• Explore large datasets using modeling, analysis, and visualization techniques
• Transform analytical results into insights and recommendations
• Contribute to the end-to-end development of predictive and prescriptive models for marketing, sales, finance, supply chain, and other business applications
• Design, build, and optimize workflows to streamline and automate data processing and delivery
• Develop and maintain applications that provide insightful capabilities through interactive and intuitive interfaces
• Apply statistics, data science, and machine learning to structured and unstructured data
• Create predictive models focused on NLP and GenAI

Data Science Co-Op, NLP, GenAI

• Lead clinical data management activities across one or more global studies/programs
• Deliver high-quality, audit-ready clinical trial data supporting regulatory submissions and clinical development timelines
• Serve as the primary data management point of contact for assigned studies/programs
• Oversee CRO and vendor performance, database design, and data cleaning strategy from study start-up through database lock and archival
• Produce high-quality databases on time and within study budget
• Present data and documentation supporting regulatory requirements
• Author, review, and maintain data management policies, SOPs, work instructions, job aids, and training documents
• Serve as the clinical data management subject matter expert for internal and external teams
• Provide expertise in electronic data capture, external data standardization, data collection and processing, and creation of data collection forms and validation checks
• Collaborate with Clinical Development, Biostatistics, Statistical Programming, Pharmacovigilance, Regulatory, Translational Research, and Clinical Operations
• Contribute to study protocols, SAPs, and other clinical documents; map data flows, processes, and systems
• Deliver Data Management Plans, Data Validation Manuals, CRF Completion Guidelines, Data Transfer Specifications, and Lab Specifications
• Oversee EDC and clinical data system builds, vendor UATs, database migrations, and mid-study updates
• Establish external data transfer guidelines and reconcile electronic transfers from CROs and vendors
• Oversee CRO data cleaning, query processing, ongoing data review, and tracking of data issues and trends
• Coordinate data metrics, trending, and reports for data review meetings and assist with listings and specifications for statistical review and audits
• Ensure compliance with national and international regulatory guidelines
• Support study close-out audits and contribute to departmental process and standards development
• Manage delivery of studies against budget

Associate Director, Data Manager

• Contribute to the US insurance roadmap and client work across structured data, free text, documents, and images
• Build and productionize data pipelines optimized for LLMs and multi-modal models
• Design, develop, and deploy LLM-based solutions using RAG, embeddings, and instruction tuning
• Experiment with agentic AI technologies and develop MVPs for autonomous subrogation solutions
• Develop Chain-of-Thought and ReAct prompting strategies for liability decisions based on Comparative Negligence laws
• Create agent tools to query internal databases, call external weather APIs, and calculate impact force from telemetry data
• Establish LLM-as-a-judge evaluation frameworks for unbiased, legally sound, and explainable decisions
• Ensure responsible-AI practices covering privacy, hallucination mitigation, explainability, and compliance
• Lead client workshops, present prototypes, gather feedback, and help define roadmap priorities
• Work alongside technical experts as part of the global Data Science team to roll out enterprise-level solutions

Data Scientist/Engineer

• Lead the development, implementation, and optimization of machine learning and AI solutions for the U.S. Commercial organization
• Design, develop, and validate machine learning and predictive analytics solutions
• Evaluate business and analytical needs and select appropriate statistical, machine learning, and AI methodologies
• Follow and refine best practices for model development, monitoring, governance, and continuous improvement
• Develop and deploy advanced analytics, machine learning, and AI solutions for patient and provider insights
• Develop predictive models supporting patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies
• Integrate and analyze claims, electronic health records, specialty pharmacy, and commercial data
• Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate insights into evidence-based business strategies
• Communicate complex analytical findings to leadership and cross-functional teams
• Support a culture of innovation, collaboration, continuous learning, and technical excellence
• Manage external vendors and consulting partners
• Manage multiple initiatives while ensuring timely and high-quality execution
• Report to the Director, Predictive Sciences

Senior Data Science Manager, Predictive Analytics – AI

• Own 3–5 enterprise healthcare accounts end to end
• Serve as the data expert for each customer account
• Design pilots that demonstrate customer value
• Integrate customer data, including tokens, claims, EHR, and marketing data, into Vi’s platform
• Build automated pipelines that train, score, and deliver insights on a schedule
• Maintain technical ownership through operations and drive accounts toward autopilot
• Work directly with analytics, marketing, and clinical operations stakeholders to identify KPIs and apply Vi’s capabilities
• Own ingestion, data mapping, data quality, and judgments about data supportability
• Design studies incorporating power, controls, confounders, and defensible business metrics
• Build and maintain per-customer production pipelines without manual intervention
• Serve as technical authority during onboarding and ongoing operations
• Handle ad hoc data and reporting questions for live accounts
• Identify cross-customer patterns and synthesize platform requirements
• Travel onsite with clients occasionally
• Turn field learnings into product roadmap requirements

Applied Data Scientist

• Build config-driven machine-learning pipelines that train, select, score, and deliver predictions from large longitudinal datasets
• Convert claims, EHR, lab, and online behavioral-intent data into predictions about healthcare utilization and preventative-care enrollment propensity
• Develop automatic feature engineering and model selection for customer-specific models without customer-specific engineering
• Find modeling improvements that generalize across customer deployments
• Implement and maintain data-science components used by Forward Deployed Data Scientists in customer deployments
• Productize pilots and one-off proofs so capabilities remain effective across multiple customers
• Set the modeling standard for customer deployments and own improvements that generalize across deployments
• Interface occasionally with design-partner clients while primarily working in an applied, in-production, non-customer-facing role
• Hands-on architect and builder; not a research or management position

Data Scientist jobs in Massachusetts

Data Science Co-Op, NLP, GenAI

Associate Director, Data Manager

Data Scientist/Engineer

Senior Data Science Manager, Predictive Analytics – AI

Applied Data Scientist

Staff Data Scientist